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Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value.

Specialist Data Engineering

As a Data Scientist, you will be responsible for designing, developing, and implementing AI & Machine Learning solutions that drive business value for our clients. You will work closely with cross-functional teams to build scalable, high-performance data pipelines, and AI models that enable data-driven decision-making.

Your Impact

• Design and develop AI & Machine Learning solutions to solve complex business problems.
• Build and optimize data pipelines, ensuring scalability, reliability, and efficiency.
• Collaborate with data scientists, business analysts, and engineers to deploy AI models into production.
• Implement best practices in data engineering, ensuring data quality, governance, and security.
• Utilize cloud-based technologies (AWS, GCP, Azure) to build and deploy AI solutions.
• Automate data processing and model training workflows to improve efficiency.
• Stay updated with the latest trends in AI, Machine Learning, and data engineering to drive innovation.

Skills & Experience

• 5+ years of experience in data engineering, AI, and machine learning.
• Strong expertise in Python, SQL, and data processing frameworks (Spark, Kafka, Flink, etc.).
• Experience with AI/ML frameworks such as TensorFlow, PyTorch, or Scikit-learn.
• Hands-on experience with cloud platforms (AWS, GCP, Azure) and big data technologies.
• Strong understanding of data architecture, ETL processes, and data modeling.
• Experience in building and deploying AI models in production environments.
• Excellent problem-solving and analytical skills with a strong business acumen.

Set Yourself Apart With

• Experience in real-time data processing and streaming analytics.
• Knowledge of MLOps, CI/CD for AI, and model monitoring.
• Certifications in AI, Machine Learning, or Cloud Technologies.

• An inclusive workplace that promotes diversity and collaboration.
• Access to ongoing learning and development opportunities.
• Competitive compensation and benefits package.
• Flexibility to support work-life balance.
• Comprehensive health benefits for you and your family.
• Generous paid leave and holidays.
• Wellness program and employee assistance.

As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures.